Abstract
In this paper a test for specification in functional regression with scalar response that exploits semi-parametric principles is illustrated. Once the test statistics is defined, its asymptotic null distribution is derived under suitable conditions. The finite sample performances of the test are analyzed through a simulation study by using both the asymptotic p-value and some bootstrap approaches. To appreciate the potentialities of the method, an application to a spectrometric real dataset is performed.
| Original language | English |
|---|---|
| Pages (from-to) | 323-354 |
| Number of pages | 32 |
| Journal | Advances in Data Analysis and Classification |
| Volume | 20 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2026 |
Keywords
- Asymptotic normality
- Functional data
- Goodness-of-fit test
- Single Index model
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